The Data Bonanza

The Data Bonanza

Improving Knowledge Discovery in Science, Engineering, and Business

by Rob Baxter, Malcolm Atkinson, Peter Brezany, Oscar Corcho, Michelle Galea, Mark Parsons, David Snelling, Jano van Hemert

576 pages· 2013· ISBN 9781118540305

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About
Complete guidance for mastering the tools and techniques ofthe digital revolution With the digital revolution opening up tremendous opportunitiesin many fields, there is a growing need for skilled professionalswho can develop data-intensive systems and extract information andknowledge from them. This book frames for the first time a newsystematic approach for tackling the challenges of data-intensivecomputing, providing decision makers and technical experts alikewith practical tools for dealing with our exploding datacollections. Emphasizing data-intensive thinking and interdisciplinarycollaboration, The Data Bonanza: Improving Knowledge Discoveryin Science, Engineering, and Business examines the essentialcomponents of knowledge discovery, surveys many of the currentresearch efforts worldwide, and points to new areas for innovation.Complete with a wealth of examples and DISPEL-based methodsdemonstrating how to gain more from data in real-world systems, thebook: Outlines the concepts and rationale for implementingdata-intensive computing in organizations Covers from the ground up problem-solving strategies for dataanalysis in a data-rich world Introduces techniques for data-intensive engineering using theData-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations,environmental hazards, seismology, and more Showcases successful applications in areas ranging fromastronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well asadditional materials on a companion website The Data Bonanza is a must-have guide for informationstrategists, data analysts, and engineers in business, research,and government, and for anyone wishing to be on the cutting edge ofdata mining, machine learning, databases, distributed systems, orlarge-scale computing.

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